Smart broadband thermal absorption across solar spectrum using machine learning-optimized nanodisk slotted resonator metamaterial solar thermal absorber for industrial heating applications
Raj Agravat, Shobhit K. Patel, Yogesh Sharma, Fahad Ahmed Alzahrani
Abstract
Solar power is among the most accessible and feasible renewable energy options for solving long-term energy problems. Solar thermal energy is booming across multiple fronts as a result of the depletion and rising prices of the world's basic energy sources, natural gas and oil. A solar thermal absorber constructed from a combination of MXene and SiO 2 is proposed; the former would act as the substrate, whereas the latter would be the top layer of a resonator and back reflector. The suggested thermal absorber is an MXene-based nanodisk covered with a slotted square-shaped resonator (MBNCSSR) solar absorber with a novel structural geometry of resonator. Using ultra-broadband technology, the MBNCSSR solar thermal absorber achieves a remarkable average absorption rate of more than 90% and a solar AM 1.5 irradiance absorption rate of more than 91%. With the suggested absorber, the ultra-broadband spectrum at 1490 nm obtained a 90% absorption band, and 740 nm attained a 95% absorption band. The MBNCSSR solar thermal absorber delivers results that are wide-angle and insensitive to polarization. The use of machine learning additionally enabled the optimization of MBNCSSR absorption, with a maximum R 2 score of 0.98635. In addition to examining their electric and magnetic strengths that change colour, this structure also examined their topologies and various metamaterial properties. The conclusion of proposed solar thermal absorber will be used in industrial heating applications.